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Aiops Engineer Jobs (NOW HIRING)

Senior AI Ops Engineer

Fort Belvoir, VA ยท Hybrid

$118K - $162K/yr

Leidos is seeking a Senior AIOps Engineer to support critical mission operations within a secure environment and lead the transformation of our IT Service Management (ITSM) capabilities. This role is ...

Description Leidos is seeking a Senior AIOps Engineer to support critical mission operations within a secure environment and lead the transformation of our IT Service Management (ITSM) capabilities.

Senior AI Ops Engineer

Fort Belvoir, VA ยท On-site

$118K - $162K/yr

Leidos is seeking a Senior AIOps Engineer to support critical mission operations within a secure environment and lead the transformation of our IT Service Management (ITSM) capabilities. This role is ...

Partner with the AIOps Engineer to advance Bloomerang's adoption and capability with Replit, Claude, Gemini, Skyvern, and other AI tools already in use. * Builder Support: Help internal builders get ...

Senior Engineer, AIOps

Miami, FL ยท On-site

$100K - $137K/yr

Position Summary The Senior Engineer, AIOps serves as a technical anchor for the reliability, scalability, and continuous improvement of Royal Caribbean Group's enterprise AI, Generative AI (GenAI ...

As a Senior Staff Engineer in Operations, you will lead and mentor a high-performing team to scale our AI-enabled operations model and deliver AIOps solutions that streamline operational workstreams ...

Partner with AIOps Engineer to implement monitoring, alerting, and optimization strategies for AI applications and services. * Participate in rapid prototyping and proof-of-concept development to ...

Partner with AIOps Engineer to implement monitoring, alerting, and optimization strategies for AI applications and services. * Participate in rapid prototyping and proof-of-concept development to ...

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Aiops Engineer information

What are some typical responsibilities and challenges faced by Aiops Engineers on a daily basis?

Aiops Engineers are responsible for designing and implementing automation solutions that monitor and manage IT infrastructure, troubleshoot complex issues, and optimize processes using AI and machine learning techniques. A typical day may involve collaborating with developers, DevOps teams, and IT managers to analyze incidents, reduce false positives, and automate repetitive tasks. Common challenges include integrating diverse monitoring tools, maintaining system reliability in dynamic environments, and ensuring scalability of automation frameworks. Working in this role often means adapting quickly to new technologies and rapidly evolving operational landscapes, which helps build valuable expertise and career growth opportunities.

What are the key skills and qualifications needed to thrive in the Aiops Engineer position, and why are they important?

To thrive as an Aiops Engineer, you need expertise in IT operations, automation, data analytics, and machine learning, often supported by a degree in computer science or a related field. Proficiency with tools like Kubernetes, Prometheus, Splunk, and cloud platforms, as well as certifications in DevOps or cloud administration, is highly valued. Strong problem-solving abilities, effective communication, and a collaborative mindset are important soft skills in this field. These skills ensure smooth deployment and maintenance of AI-driven operational solutions, leading to enhanced system reliability and efficiency.

What does an AIOps Engineer do?

An AIOps Engineer focuses on applying artificial intelligence (AI) and machine learning (ML) to IT operations. They develop and implement algorithms to automate monitoring, anomaly detection, and incident resolution, improving system reliability and performance. Their work involves analyzing vast amounts of data from IT environments to predict issues and optimize workflows. AIOps Engineers collaborate with DevOps and IT teams to enhance operational efficiency and reduce downtime.

Is AIOps a good career?

AIOps engineers focus on applying artificial intelligence and machine learning to IT operations, improving system reliability and automation. The role requires skills in data analysis, scripting, and familiarity with tools like ML frameworks and monitoring platforms, making it a growing and in-demand field with good career prospects. Continuous learning and certifications can enhance job opportunities in this evolving area.
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Infographic showing various Aiops Engineer job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Engineer/Dev with Security Clearance

Engineer/Dev with Security Clearance

Global Enterprise Services, LLC

Fort Belvoir, VA โ€ข Hybrid

Other

Posted 12 days ago


Job description

Engineer/Dev
GES is seeking a Senior AIOps Engineer to support critical mission operations within a secure environment and lead the transformation of our IT Service Management (ITSM) capabilities. This role is responsible for the design, deployment, and management of AIOps solutions that enhance the reliability and security of Department of War (DoW) networks and systems. Acting as the technical lead for this initiative, you will orchestrate integrations across existing Network Engineering, ServiceNow, and SolarWinds teams. You will utilize Splunk and the Machine Learning Toolkit (MLTK) to provide descriptive and predictive analytics and establish closed-loop automated incident response, ensuring the high availability of mission-essential infrastructure. Primary Responsibilities โ€ข Cross-Functional Leadership: Lead the AIOps platform initiative by acting as the primary technical liaison to existing Network Engineering, ServiceNow, and SolarWinds administration teams to establish unified telemetry pipelines.
ITSM Orchestration & Automation: Architect closed-loop remediation workflows by deeply integrating Splunk ITSI alerts with ServiceNow Event Management and Incident Management modules. โ€ข Mission-Critical Observability: Architect and maintain Splunk AIOps solutions across unclassified and classified enclaves to provide real-time situational awareness. โ€ข Infrastructure Telemetry Integration: Normalize and correlate network performance and fault data from SolarWinds with server and application logs to provide a holistic view of enterprise health. โ€ข Advanced ML Development: Deploy custom machine learning models via Splunk MLTK to identify anomalous behavior, potential cyber threats, and infrastructure degradations. โ€ข Secure Data Integration: Engineer secure data ingestion pipelines for telemetry data from cross-domain solutions and tactical edge devices. โ€ข Incident Reduction: Utilize IT Service Intelligence (ITSI) to correlate multi-source events, reducing noise and prioritizing high-impact mission alerts. โ€ข Cyber Defense Support: Collaborate with the Cyber Security Service Provider (CSSP) to integrate AIOps insights into defensive cyber operations (DCO). โ€ข Compliance & Documentation: Ensure all observability tools comply with DoW STIGs and IL5/IL6 protocols; develop and maintain architectural documentation and compliance traceability. โ€ข Mission Alignment: Stay current on AIOps and related capabilities relevant to DoD, federal, and intelligence mission systems.
Required Qualifications โ€ข Security Clearance: Active Top Secret / Sensitive Compartmented Information (TS/SCI) required at time of hire. โ€ข Certification: Active IAT Level II certification (e.g., Security+ CE, CySA+, GSEC, or SSCP) required. โ€ข Citizenship: United States Citizenship is required. โ€ข Platform Experience: 7+ years of experience with Splunk Enterprise, including architectural design, cluster management, and advanced Search Processing Language (SPL). โ€ข AIOps & ITSM: 3+ years of experience implementing AIOps workflows, including integration with enterprise ITSM solutions (ServiceNow) for automated root cause analysis and remediation. โ€ข Machine Learning: Proven track record of building, testing, and tuning supervised and unsupervised models within the Splunk MLTK. โ€ข Scripting & Automation: Advanced scripting skills for developing custom search commands, API integrations, and automating remediation tasks (e.g., Python).
Leadership: Experience leading technical working groups and directing the efforts of adjacent infrastructure and development teams. โ€ข Operational Experience: Prior experience working within a DoW/DoD Operations Center (NOC/SOC) or supporting mission-critical systems and networks. โ€ข Communication: Must be able to present designs, plans, and analyses of alternatives to technical leadership boards for approvals.
Desired Qualifications โ€ข Enterprise Aggregation: Experience aggregating and correlating telemetry from diverse tools, specifically SolarWinds, ServiceNow, and VMware vCenter. โ€ข Expert Certification: Splunk Enterprise Certified Architect or Splunk ITSI Certified Admin. โ€ข Cloud Observability: Experience with Cloud Native Computing Foundation (CNCF) observability tools in secure hybrid multi-cloud environments (Azure/AWS). โ€ข RMF/ATO Knowledge: Understanding of the Risk Management Framework (RMF) and the Authorization to Operate (ATO) process for AI/ML workloads.